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Your primary toolset in your work will be Java microservices, Spark/Scala data processing (maybe some Flink), Kubernetes and AWS native tooling. 5+ years of ‘backend’ software development experience, bonus points if with Java, Scala or Kotlin.
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Practical experience with implementing data science-related applications in a programming language such as Python, Scala, or Java. As an SDS machine learning engineer, you will work with teams across Apple, using data analysis and predictive modeling techniques to define, build, deploy, and maintain end-to-end operational solutions that have a direct and measurable impact to the company and our customers.
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J2EE | Java | Kafka | Scala | Spark | Spring Boot | SQL. Experience in Spark, Scala, Kafka. J2EE | Java | Kafka | Scala | Spark | Spring Boot | SQL. c#, devops, matlab, php, software development engineer, software programmer.
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Expert level knowledge of Cloudera Hadoop components such as HDFS, Sentry, HBase, Kafka, Impala, SOLR, Hue, Spark, Hive, YARN, Zookeeper and Postgres. Cluster maintenance as well as creation and removal of nodes using tools like Ganglia, Nagios, Cloudera Manager Enterprise, Dell Open Manage and other tools.
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Strong proficiency in programming languages such as Java, Scala, Python, Google Cloud, Biq Query, Hadoop & Spark etc. Strong proficiency in programming languages such as Java, Scala, Python, Google Cloud, Biq Query, Hadoop & Spark etc.
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Strength in the majority of commonly used data technologies and languages such as Python, Java, Go or Scala, Kafka, Spark, Flink, Airflow, Splunk, Datadog, Jenkins, or similar. This role is based out of our Austin, Texas office, reports into the VP Technology of DTS Business Systems and offers flexibility to work remotely as schedule permits.
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Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world's largest enterprises. At Cloudera, we empower people to transform complex data into clear and actionable insights.
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Deep expertise in Python, Java, Scala, SQL, and/or other relevant languages and frameworks. Experience with Spark, Hadoop, HIVE, Kafka, Cassandra or other distributed systems. Understand modern data engineering approaches, stay on top of developments, and are aware of what leading players are doing.
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You know (or want to write software in) Scala. You have experience working with the technologies we use: Kafka, RocksDB, ElasticSearch, Postgres, Spark, HBase. You have worked in AWS, GCP, or Azure.
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Graduate degree with research/work experience utilizing data science techniques (including but not limited to Computer Science, Statistics, Political Science, Biology, etc) Share what you're learning about novel technologies and methods (in data science, machine learning, data engineering, and software engineering, etc) to improve your team's overall technical capabilities.
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Strong knowledge of programming languages such as Python, SQL, or Scala. Azure Data Engineering or Databricks Certification, and expertise with other cloud data platforms (AWS, Snowflake) preferred.
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Strong Software Engineering experience (Application Development) using Apache Spark, Scala and messaging systems as Kafka for handling/processing large datasets. with a primary focus on Scala and Apache Spark / good understanding and usage of REST API's.
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Experience supporting Node.js/JavaScript/Java/Scala development. Preferred experience with Docker, configuration management systems such as Ansible, Kubernetes, or similar grid computing technologies.
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Understanding Continuous Integration & Delivery methodologies, team dynamics, & role of Build/Release/DevOps engineer. Role: Release Engineer. Python and Bash is a must, Groovy/Go scripting experience a big plus.
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Experience with Scala; Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.
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cloudera scala jobs in Austin, TX
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